Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
Adaptive Filtering Prediction and Control
Adaptive Filtering Prediction and Control
Space-time-coded MIMO ZP-OFDM systems: semiblind channel estimation and equalization
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IEEE Transactions on Signal Processing
Unbiased blind adaptive channel identification and equalization
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Blind fractionally spaced equalization of noisy FIR channels: direct and adaptive solutions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Closed-form blind symbol estimation in digital communications
IEEE Transactions on Signal Processing
On subspace methods for blind identification of single-inputmultiple-output FIR systems
IEEE Transactions on Signal Processing
A subspace approach to blind space-time signal processing forwireless communication systems
IEEE Transactions on Signal Processing
Blind identification of multi-input multi-output system usingminimum noise subspace
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Prediction error method for second-order blind identification
IEEE Transactions on Signal Processing
Nonlinear adaptive blind whitening for MIMO channels
IEEE Transactions on Signal Processing - Part I
An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems
IEEE Transactions on Signal Processing
A globally convergent approach for blind MIMO adaptivedeconvolution
IEEE Transactions on Signal Processing
A multidelay whitening approach to blind identification and equalization of SIMO channels
IEEE Transactions on Wireless Communications
A subspace algorithm for certain blind identification problems
IEEE Transactions on Information Theory
Blind estimation and equalization of MIMO channels via multidelay whitening
IEEE Journal on Selected Areas in Communications
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An adaptive (recursive in time) filtering method is proposed for blind deconvolution of multiple-input multiple-output (MIMO) channels modeled. by an autoregressive moving average (ARMA) process. This method consists of two recursive schemes. The adaptive blind identification algorithm estimates the MIMO system impulse response. These estimates are then used in an adaptive Wiener-type filter to extract the instantaneous mixture of input sources. Such a mixture is further processed by a blind source separation algorithm to obtain the individual sources. Only second-order (SOS) statistics are used, and precise knowledge of the system order is not required as long as it is overmodeled. We also present an algorithm for the case of time-varying parameters. It is proved that the developed algorithms are globally convergent with probability one.